Confessions of a Code Addict | Abhinav Upadhyay | Substack

Compiling Python to Run Anywhere

A guest post on building a Python compiler that generates optimized kernels while preserving the language’s simplicity.

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Recent posts

What Makes System Calls Expensive: A Linux Internals Deep Dive

An explanation of how Linux handles system calls on x86-64 and why they show up as expensive operations in performance profiles

Sep 16 • Abhinav Upadhyay

How to Leverage the CPU’s Micro-Op Cache for Faster Loops

Measuring, analyzing, and optimizing loops using Linux perf, Top-Down Microarchitectural Analysis, and the CPU’s micro-op cache

Aug 15 • Abhinav Upadhyay

45:32

Big O vs Hardware: Better Complexity ≠ Better Performance

Why Your O(log n) Algorithm Might Lose to O(n)

Aug 3 • Abhinav Upadhyay

x86 Assembly Exercise #1: Toy kill Program (Solution)

A step-by-step walkthrough of the toy kill program using raw Linux syscalls.

Jul 19 • Abhinav Upadhyay

8:42

Understanding Registers and Data Movement in x86-64 Assembly

A hands-on guide to general-purpose registers and data movement in x86-64

Jul 16 • Abhinav Upadhyay